Today's Hours: 8:00am - 10:00pm

Search

Did You Mean:

Search Results

  • Book
    edited by Sean Ekins.
    Contents:
    Part I. Computational Methods
    1. Accessible machine learning approaches for toxicology
    2. Quantum mechanics approaches in computational toxicology
    Part II. Applying Computers to Toxicology Assessment: Pharmaceutical, Industrial and Clinical
    3. Computational approaches for predicting hERG activity
    4. Computational toxicology for traditional Chinese Medicine
    5. Pharmacophore models for toxicology prediction
    6. Transporters in hepatotoxicity
    7. Cheminformatics in a clinical setting
    Part III. Applying Computers to Toxicology Assessment: Environmental and Regulatory Perspectives
    8. Computational tools for ADMET profiling
    9. Computational toxicology and reach
    10. Computational approaches to predicting dermal absorption of complex tropical mixtures
    Part IV. New Technologies for Toxicology, Future Perspectives
    11. Big data in computational toxicology: challenges and opportunities
    12. HLA-mediated adverse drug reactions: challenges and opportunities for predictive molecular modeling
    13. Open science data repository for toxicology
    14. Developing next generation tools for computational toxicology
    Index.
    Digital Access Wiley 2018
  • Article
    Morosowa LW, Klimm W, Maiwald HJ.
    Stomatol DDR. 1977 Oct;27(10):659-64.
    An experiment with 80 Wistar rats was performed to study, using cultural methods, the effect of locally and internally applied caries-preventive agents on the microbiological situation in the oral cavity and on the surface of the skin. Especially in case of combined internal and local application, fluoride-containing preparations exerted an inhibitory effect on the oral microflora that had been altered by a cariogenic diet and on the bacterial invasion of the skin. The influence of a locally applied mineral solution on bacterial growth was only insignificant.
    Digital Access Access Options